TY - GEN
T1 - Face tracking in low resolution videos under illumination variations
AU - Zou, Wilman W.W.
AU - Chellappa, Rama
AU - YUEN, Pong Chi
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - In practical face tracking applications, the face region is often small and affected by illumination variations. We address this problem by using a new feature, namely the Gradient-Logarithmic Field (GLF) feature, in the particle filter framework. The GLF feature is robust under illumination variations and the GLF-based tracker does not assume any model for the face being tracked and is effective in low-resolution video. Experimental results show that the proposed GFL-based tracker works well under significant illumination changes and outperforms some of the state-of-the-art algorithms.
AB - In practical face tracking applications, the face region is often small and affected by illumination variations. We address this problem by using a new feature, namely the Gradient-Logarithmic Field (GLF) feature, in the particle filter framework. The GLF feature is robust under illumination variations and the GLF-based tracker does not assume any model for the face being tracked and is effective in low-resolution video. Experimental results show that the proposed GFL-based tracker works well under significant illumination changes and outperforms some of the state-of-the-art algorithms.
KW - illumination variations
KW - low-resolution
KW - particle filter
KW - Visual face tracking
UR - http://www.scopus.com/inward/record.url?scp=84856271994&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2011.6116672
DO - 10.1109/ICIP.2011.6116672
M3 - Conference proceeding
AN - SCOPUS:84856271994
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 781
EP - 784
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -